So-called neuromorphic computing involves the use of physical artificial neurons to do computing in a way that is inspired by the human brain. With photonic neuromorphic computing these artificial ...

The Nature Index 2026 Research Leaders reveal the leading institutions and countries/territories in the natural sciences, health sciences, applied sciences and social sciences, according to their ...

Memory is a crucial cognitive function that deteriorates with age. However, this ability is normally assessed using cognitive tests instead of the architecture of brain networks. Here, we use ...

Balancing electronic and ionic charge carriers in polymer nanofilms significantly improves physical reservoir computing, a brain-inspired approach that harnesses material dynamics instead of ...

The awardees and summary of each project are listed below: Integrated Human Brain Organoid Systems for Adaptive Reservoir Computing, University of Michigan — By combining neuromorphic computing theory ...

Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as weather patterns, recorded speech or stock market trends. Classical ...

A new technical paper titled “Optical next generation reservoir computing” was published by researchers at Sorbonne Université, CNRS, Tsinghua University, University of Hong Kong, and University of ...

Reservoir computing is a computational approach well suited to time‑dependent tasks such as speech recognition, because it relies on internal dynamics, nonlinear responses, and short‑term memory of ...

HOBOKEN, N.J. , Nov. 17, 2025 /PRNewswire/ -- Quantum Computing Inc. ("QCi" or the "Company") (Nasdaq: QUBT), an innovative, integrated photonics and quantum optics technology company, today announced ...

Reservoir computing is suited for edge-AI use cases, such as signal processing, time-series forecasting, and pattern recognition, where rapid response and compact systems are essential. In this ...